We are seeking an experienced Big Data Cloud Architect with 8–12 years in designing and implementing scalable big data solutions on Azure and AWS. The ideal candidate will have deep hands-on expertise in cloud-based big data technologies, a strong background in the software development life cycle (SDLC), and experience in microservices and backend development.
Key Responsibilities :
- Design, build, and maintain scalable big data architectures on Azure and AWS
- Select and integrate big data tools and frameworks (e.g., Hadoop, Spark, Kafka, Azure Data Factory, )
- Lead data migration from legacy systems to cloud-based solutions
- Develop and optimize ETL pipelines and data processing workflows.
- Ensure data infrastructure meets performance, scalability, and security requirements.
- Collaborate with development teams to implement microservices and backend solutions for big data applications.
- Oversee the end-to-end SDLC for big data projects, from planning to deployment.
- Mentor junior engineers and contribute to architectural best practices.
- Prepare architecture documentation and technical reports.
Required Skills & Qualifications :
Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.8–12 years of experience in big data and cloud architecture.Proven hands-on expertise with Azure and AWS big data services (e.g., Azure Synapse, AWS Redshift, S3, Glue, Data Factory).Strong programming skills in Python, Java, or Scala[9].Solid understanding of SDLC and agile methodologies.Experience in designing and deploying microservices, preferably for backend data systems.Knowledge of data storage, database management (relational and NoSQL), and data security best practices[6].Excellent problem-solving, communication, and team leadership skills[8].Preferred Qualifications :
Certifications in AWS and / or Azure cloud platforms.Experience with Infrastructure as Code (e.g., Terraform, CloudFormation).Exposure to containerization (Docker, Kubernetes) and CI / CD pipelines.Familiarity with data analytics, machine learning, and event-driven architectures.Why Join Us?
Work with cutting-edge cloud and big data technologiesLead impactful, enterprise-scale projectsCollaborative and innovative team environmentApply now to drive the next generation of cloud-based big data solutions!